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Toward on-demand measurements of greenhouse gas emissions using an uncrewed aircraft AirCore system.

Authors :
Zhu, Zihan
González-Rocha, Javier
Ding, Yifan
Frausto-Vicencio, Isis
Heerah, Sajjan
Venkatram, Akula
Dubey, Manvendra
Collins, Don
Hopkins, Francesca M.
Source :
Atmospheric Measurement Techniques; 2024, Vol. 17 Issue 13, p3883-3895, 13p
Publication Year :
2024

Abstract

This paper evaluates the performance of a multirotor uncrewed aircraft and AirCore system (UAAS) for measuring vertical profiles of wind velocity (speed and direction) and the mole fractions of methane (CH 4) and carbon dioxide (CO 2) , and it presents a use case that combines UAAS measurements and dispersion modeling to quantify CH 4 emissions from a dairy farm. To evaluate the atmospheric sensing performance of the UAAS, four field deployments were performed at three locations in the San Joaquin Valley of California where CH 4 hotspots were observed downwind of dairy farms. A comparison of the observations collected on board the UAAS and an 11 m meteorological tower show that the UAAS can measure wind velocity trends with a root mean squared error varying between 0.4 and 1.1 m s -1 when the wind magnitude is less than 3.5 m s -1. Findings from UAAS flight deployments and a calibration experiment also show that the UAAS can reliably resolve temporal variations in the mole fractions of CH 4 and CO 2 occurring over periods of 10 s or longer. Results from the UAAS and dispersion modeling use case further demonstrate that UAASs have great potential as low-cost tools for detecting and quantifying CH 4 emissions in near real time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18671381
Volume :
17
Issue :
13
Database :
Complementary Index
Journal :
Atmospheric Measurement Techniques
Publication Type :
Academic Journal
Accession number :
178561673
Full Text :
https://doi.org/10.5194/amt-17-3883-2024